Zobrazeno 1 - 10
of 465
pro vyhledávání: '"P Ausin"'
Autor:
Shen, Gerald, Wang, Zhilin, Delalleau, Olivier, Zeng, Jiaqi, Dong, Yi, Egert, Daniel, Sun, Shengyang, Zhang, Jimmy, Jain, Sahil, Taghibakhshi, Ali, Ausin, Markel Sanz, Aithal, Ashwath, Kuchaiev, Oleksii
Aligning Large Language Models (LLMs) with human values and preferences is essential for making them helpful and safe. However, building efficient tools to perform alignment can be challenging, especially for the largest and most competent LLMs which
Externí odkaz:
http://arxiv.org/abs/2405.01481
Autor:
Mukherjee, Subhabrata, Gamble, Paul, Ausin, Markel Sanz, Kant, Neel, Aggarwal, Kriti, Manjunath, Neha, Datta, Debajyoti, Liu, Zhengliang, Ding, Jiayuan, Busacca, Sophia, Bianco, Cezanne, Sharma, Swapnil, Lasko, Rae, Voisard, Michelle, Harneja, Sanchay, Filippova, Darya, Meixiong, Gerry, Cha, Kevin, Youssefi, Amir, Buvanesh, Meyhaa, Weingram, Howard, Bierman-Lytle, Sebastian, Mangat, Harpreet Singh, Parikh, Kim, Godil, Saad, Miller, Alex
We develop Polaris, the first safety-focused LLM constellation for real-time patient-AI healthcare conversations. Unlike prior LLM works in healthcare focusing on tasks like question answering, our work specifically focuses on long multi-turn voice c
Externí odkaz:
http://arxiv.org/abs/2403.13313
In this paper, we employ Credit Default Swaps (CDS) to model the joint and conditional distress probabilities of banks in Europe and the U.S. using factor copulas. We propose multi-factor, structured factor, and factor-vine models where the banks in
Externí odkaz:
http://arxiv.org/abs/2401.03443
The first stages of the path instability phenomenon known to affect the buoyancy-driven motion of gas bubbles rising in weakly or moderately viscous liquids are examined thanks to a recently developed numerical tool designed to assess the global line
Externí odkaz:
http://arxiv.org/abs/2310.08959
Autor:
Luisa Chocarro, Ester Blanco, Leticia Fernandez-Rubio, Maider Garnica, Miren Zuazo, Maria Jesus Garcia, Ana Bocanegra, Miriam Echaide, Colette Johnston, Carolyn J Edwards, James Legg, Andrew J Pierce, Hugo Arasanz, Gonzalo Fernandez-Hinojal, Ruth Vera, Karina Ausin, Enrique Santamaria, Joaquin Fernandez-Irigoyen, Grazyna Kochan, David Escors
Publikováno v:
EMBO Molecular Medicine, Vol 16, Iss 8, Pp 1791-1816 (2024)
Abstract Many cancer patients do not benefit from PD-L1/PD-1 blockade immunotherapies. PD-1 and LAG-3 co-upregulation in T-cells is one of the major mechanisms of resistance by establishing a highly dysfunctional state in T-cells. To identify shared
Externí odkaz:
https://doaj.org/article/28ff1b0ab6c0455fbce072272578f5f4
Reinforcement learning (RL) has been extensively researched for enhancing human-environment interactions in various human-centric tasks, including e-learning and healthcare. Since deploying and evaluating policies online are high-stakes in such tasks
Externí odkaz:
http://arxiv.org/abs/2302.09212
Autor:
Corrochano, Adrián, Sierra-Ausín, Javier, Martin, Juan Ángel, Fabre, David, Clainche, Soledad Le
In this article, a thorough characterization of the configuration composed by two concentric jets at a low Reynolds number is presented. The analysis comprises a layout with a wide range for the velocity ratio between the inner and outer jets, define
Externí odkaz:
http://arxiv.org/abs/2301.04429
Publikováno v:
Communication & Society (Formerly Comunicación y Sociedad), Vol 37, Iss 3 (2024)
This article presents the results of an integrative of the Most research to date on the media treatment of the Paralympic Games has used content analysis and the comparative method to determine whether people with disabilities are being discriminated
Externí odkaz:
https://doaj.org/article/1c7f3ddfc5264a698f0eaf88df8a277a
The purpose of this work is to describe in detail the development of the Spectral Difference Raviart-Thomas (SDRT) formulation for two and three-dimensional tensor-product elements and simplexes. Through the process, the authors establish the equival
Externí odkaz:
http://arxiv.org/abs/2105.08632
The temporal Credit Assignment Problem (CAP) is a well-known and challenging task in AI. While Reinforcement Learning (RL), especially Deep RL, works well when immediate rewards are available, it can fail when only delayed rewards are available or wh
Externí odkaz:
http://arxiv.org/abs/2105.00568